Better camera control for droid

DemoPrograms/PyDroid3/Demo_OpenCV_4_Line_Program.py

@@ -1,5 +1,6 @@
 import tkinter
 import cv2, PySimpleGUI as sg
-window, cap = sg.Window('Demo Application - OpenCV Integration', [[sg.Image(filename='', key='image')], ], location=(0, 0)), cv2.VideoCapture(0)
+USE_CAMERA = 0      # change to 1 for front facing camera
+window, cap = sg.Window('Demo Application - OpenCV Integration', [[sg.Image(filename='', key='image')], ], location=(0, 0), grab_anywhere=True), cv2.VideoCapture(USE_CAMERA)
 while window(timeout=20)[0] is not None:
     window['image'](data=cv2.imencode('.png', cap.read()[1])[1].tobytes())

DemoPrograms/PyDroid3/Demo_OpenCV_Webcam_ASCII.py

@@ -3,8 +3,12 @@ import cv2
 from PIL import Image
 import numpy as np
 import PySimpleGUI as sg
+
 font_size = 4
-USING_QT = False
+CAMERA_FRONT = 1
+CAMERA_REAR = 0
+
+USE_CAMERA = CAMERA_REAR
 
 """
 Interesting program that shows your webcam's image as ASCII text. Runs in realtime, producing a stream of
@@ -29,34 +33,48 @@ On Linux / Mac use pip3 instead of pip
 chars = np.asarray(list(' .,:;irsXA253hMHGS#9B&@'))
 SC, GCF, WCF = .1, 1, 7/4
 
-sg.change_look_and_feel('Black') # make it look cool
+sg.change_look_and_feel('Dark Black 1') # make it look cool
 
-# define the window layout
+# ---------------- A Quick Little Window - to get camera to use ----------------
+win_get_cam = sg.Window('Which Camera?',[[sg.T('Which camera?')],[sg.Combo(['Front', 'Rear'], default_value='Rear', font='any 20')], [sg.Ok()]], location=(0,0))
+event, values = win_get_cam.read()
+win_get_cam.close()
+if event != 'Ok': exit()
+USE_CAMERA = [CAMERA_FRONT, CAMERA_REAR][values[0]=='Rear']
+
+# ------------ Turn on camera and read a frame to find the number of lines of text needed ---------
+cap = cv2.VideoCapture(USE_CAMERA)      # Setup camera using your camera choice
+
+ret, frame = cap.read()
+
+img = Image.fromarray(frame)    # create PIL image from frame
+GCF = 1.0                       # Variable user will be able to change
+WCF = 1.75                      # Variable user will be able to change
+# ----------- magic that coverts the image to ascii -----------
+S = (round(img.size[0] * SC * WCF), round(img.size[1] * SC))
+img = np.sum(np.asarray(img.resize(S)), axis=2)
+img -= img.min()
+img = (1.0 - img / img.max()) ** GCF * (chars.size - 1)
+
+# Find number of lines of text that will be drawn so can create the right size of window
+NUM_LINES = len(chars[img.astype(int)])
+LINE_LENGTH = len("".join(chars[img.astype(int)][0]))
+print(f'line len = {LINE_LENGTH}')
+#  ------------- define the window layout -------------
 # number of lines of text elements. Depends on cameras image size and the variable SC (scaller)
-NUM_LINES = 65
-if USING_QT:
-    layout = [[sg.Text(i, size_px=(800, 12),
-    font=('Courier', font_size),
-    key='-OUT-' + str(i))] for i in range(NUM_LINES)]
-else:
-    layout = [[sg.Text(i, size=(120, 1), font=('Courier', font_size),
-    pad=(0, 0), key='-OUT-'+str(i))] for i in range(NUM_LINES)]
+
+layout = [[sg.Text(i, size=(LINE_LENGTH, 1), font=('Courier', font_size), pad=(0, 0), key='-OUT-'+str(i))] for i in range(NUM_LINES)]
 
 layout += [[sg.Button('Exit', size=(5, 1)),
             sg.Text('GCF', size=(4, 1)),
-sg.Spin([round(i, 2) for i in np.arange(0.1, 20.0, 0.1)],
-initial_value=1, key='-SPIN-GCF-', size=(5, 1)),
-sg.Text('WCF', size=(4, 1)),
-sg.Slider((1, 4), resolution=.05, default_value=1.75,
-orientation='h', key='-SLIDER-WCF-', size=(15, 15))]]
+            sg.Spin([round(i, 2) for i in np.arange(0.1, 20.0, 0.1)], initial_value=1, key='-SPIN-GCF-', size=(5, 1), font='any 20')],
+            [sg.Text('WCF', size=(4, 1)),
+            sg.Slider((1, 4), resolution=.05, default_value=1.75, orientation='h', key='-SLIDER-WCF-', size=(15, 30))]]
 
-# create the window and show it without the plot
-window = sg.Window('Demo Application - OpenCV Integration', layout,
-location=(0,0), font='Any 10')
+# ------------- create the window -------------
+window = sg.Window('Demo Application - OpenCV Integration', layout, location=(0,0))
 
 # ---===--- Event LOOP Read and display frames, operate the GUI --- #
-# Setup the OpenCV capture device (webcam)
-cap = cv2.VideoCapture(0)
 while True:
 
     event, values = window.read(timeout=0)

DemoPrograms/PyDroid3/Demo_OpenCV_Webcam_Minimal.py

@@ -0,0 +1,35 @@
+import tkinter
+import PySimpleGUI as sg
+import cv2
+
+"""
+    Demo of using OpenCV to show your webcam in a GUI window.
+    This demo will run on tkinter, Qt, and Web(Remi).  The web version flickers at the moment though
+    To exit, right click and choose exit. If on Qt, you'll have to kill the program as there are no right click menus
+    in PySimpleGUIQt (yet).
+"""
+
+CAMERA_FRONT = 1
+CAMERA_REAR = 0
+sg.change_look_and_feel('Dark Black 1')
+
+# define the window layout
+layout = [[sg.Image(filename='', key='-IMAGE-', tooltip='Right click for exit menu')],
+          [sg.Exit()],]
+
+# create the window and show it without the plot
+window = sg.Window('Demo Application - OpenCV Integration', layout, location=(0,0),
+                   no_titlebar=True, grab_anywhere=True,
+                   right_click_menu=['&Right', ['E&xit']], )  # if trying Qt, you will need to remove this right click menu
+
+# ---===--- Event LOOP Read and display frames, operate the GUI --- #
+cap = cv2.VideoCapture(CAMERA_REAR)                               # Setup the OpenCV capture device (webcam)
+while True:
+    event, values = window.read(timeout=20)
+    if event in ('Exit', None):
+        break
+    ret, frame = cap.read()                             # Read image from capture device (camera)
+    imgbytes=cv2.imencode('.png', frame)[1].tobytes()   # Convert the image to PNG Bytes
+    window['-IMAGE-'].update(data=imgbytes)   # Change the Image Element to show the new image
+
+window.close()